VP, Quantitative Research - Structured Finance Analytics

PIMCO Ltd. - Pacific Investment Management Company

New York (NY)

On-site

USD 205,000 - 240,000

Full time

8 days ago
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Job summary

PIMCO is expanding its Structured Products Analytics team and seeking a Quantitative Developer to contribute to prepayment and credit model implementation, risk analytics, and analytics platform development. The role involves working with RMBS, CMBS, and ABS data in a cloud-based environment.

The candidate will collaborate across researchers, analytics, and production teams to deliver scalable, governance-driven analytics with a focus on performance and reliability.

Qualifications

  • Master's degree or higher in a quantitative STEM discipline (e.g., CS, Math, Financial Engineering, Stats, Physics).
  • 3–5 years of hands-on software development in financial services; proficient in C++ and Python.
  • Experience developing analytics for securitized products (RMBS/CMBS/ABS).
  • Strong understanding of structured finance deal structures and cash flow analytics.
  • Experience designing scalable analytics systems in cloud environments.

Responsibilities

  • Collaborate with researchers and portfolio analytics to design and enhance structured products analytics using the Intex CMO platform and datasets.
  • Develop and maintain prepayment, credit, and cash flow models integrated with the analytics framework.
  • Build and support analytics and risk measurement across securitized products in both research and production contexts.
  • Contribute to the design of a scalable, cloud-based analytics platform for high-performance data processing.
  • Promote code quality, testing, and production support within an Agile environment.

Skills

C++
Python
Intex CMO API
Cloud analytics
Structured finance

Education

Master's degree or higher in a quantitative STEM field

Tools

Intex CMO API

Job description

PIMCO is expanding its Structured Products Analytics team and seeking a Quantitative Developer to contribute to prepayment and credit model implementation, risk analytics, and analytics platform development. The role involves working with RMBS, CMBS, and ABS data in a cloud-based environment.

The candidate will collaborate across researchers, analytics, and production teams to deliver scalable, governance-driven analytics with a focus on performance and reliability.

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